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Automatic Document Analysis Research group. Automatic Document Analysis Research Group. Welcome to our page for projects related to Document Image Processing. The following are the two main projects funded by QNR:. Intelligent Document Management System for Automatic Writer Identification:. The aims of the project is to plan, analysis, design, build, and test a novel Intelligent document management system to help forensic scientists in document examination forensic Labs. This system should be able to:.

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Automatic Document Analysis Research group. Automatic Document Analysis Research Group. Welcome to our page for projects related to Document Image Processing. The following are the two main projects funded by QNR:. Intelligent Document Management System for Automatic Writer Identification:. The aims of the project is to plan, analysis, design, build, and test a novel Intelligent document management system to help forensic scientists in document examination forensic Labs. This system should be able to:.

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1 team members

2 writer identification

3 datasets

4 awards

5 events

6 publications

7 icdar 2013 competitions

8 gender prediction

9 stroke recovery

10 idms

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team members,writer identification,datasets,awards,events,publications,icdar 2013 competitions,gender prediction,stroke recovery,idms,remove documents backgrounds,recognize unknown writers,ipam,project sponsors,2016 qatar university

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https://handwriting.qu.edu.qa

Automatic Document Analysis Research group. Automatic Document Analysis Research Group. Welcome to our page for projects related to Document Image Processing. The following are the two main projects funded by QNR:. Intelligent Document Management System for Automatic Writer Identification:. The aims of the project is to plan, analysis, design, build, and test a novel Intelligent document management system to help forensic scientists in document examination forensic Labs. This system should be able to:.

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handwriting.qu.edu.qa

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ICDAR 2013 Competitions

http://handwriting.qu.edu.qa/icdar-2013-competitions

Automatic Document Analysis Research group. We are organizing in the scope of ICDAR 2013. The two following competitions:. ICDAR2013 – Competition on Gender Prediction from Handwriting. ICDAR2013 – Competition on Stroke Recovery from Offline Data. Hosted by Qatar University.

2

Team members

http://handwriting.qu.edu.qa/team

Automatic Document Analysis Research group. A team of researchers at Qatar University is working on the Intelligent Document Management System project ( IDMS. Funded by the Qatar National Research Fund ( QNRF. The project is a collaboration between researchers in Qatar, and UK. Dr Somaya Al-Ma’adeed is the lead principle investigator (LPI) of this team. Dr Somaya Al-Ma'adeed. Dr Somaya Al-Ma’adeed. Email: s alali@qu.edu.qa. Email: ahmed.bouridane@northumbria.ac.uk. Prof Ali Mohamed Jaoua.

3

Writer Identification

http://handwriting.qu.edu.qa/writer-identification

Automatic Document Analysis Research group. Writer identification generally requires two main steps. The first one is an image-processing step in which, features are extracted from the questioned document and all the documents of the database. The second step is a classification step, in which the questioned document is assigned to the closest document in the dataset according to the difference between their features. Hosted by Qatar University.

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Publications

http://handwriting.qu.edu.qa/publications

Automatic Document Analysis Research group. A Hassaïne, S. Al-Ma’adeed, J. Alja’am, A. Jaoua and A. Bouridane,. The ICDAR2011 Arabic Writer Identification Contest. In 11th International Conference on Document Analysis and Recognition, Beijing, China. September 2011. Access online. Text-Dependent Writer Identification for Arabic Handwriting. In the “Journal of Electrical and Computer Engineering”, vol. 2012, March 2012. Access online. Arabic Signature Verification Datasets. Neural Information Processing, ...

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Gender Prediction

http://handwriting.qu.edu.qa/icdar-2013-competitions/gender-prediction

Automatic Document Analysis Research group. ICDAR2013 - Competition on Gender Prediction from Handwriting. The prediction of gender from handwriting is a very interesting research field. It has many applications including the forensic application where it can help investigators focusing more on a certain category of suspects. There are a few studies regarding the automatic detection of the gender of a handwritten document [1-3]. That will be held in Washington, DC. The competition is now online at Kaggle.

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Automatic Document Analysis Research group. Automatic Document Analysis Research Group. Welcome to our page for projects related to Document Image Processing. The following are the two main projects funded by QNR:. Intelligent Document Management System for Automatic Writer Identification:. The aims of the project is to plan, analysis, design, build, and test a novel Intelligent document management system to help forensic scientists in document examination forensic Labs. This system should be able to:.

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